13 post-doc-image-engineering-computer-vision PhD positions at University of Birmingham in United Kingdom
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quality, diversity, and biological relevance using standard metrics and expert review. Anonymised digital images from tissues in biobanks will be used to train generative models on university computing
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Schlumberger Foundation Faculty for the Future Fellowships 2026-2027 is open now. These are the requirements to apply for a fully-funded PhD or Post-Doctoral Fellowships in STEM (Engineering
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are interested in interdisciplinary research across electrical engineering / electromagnetism, numerical methods, numerical mathematics, high-performance computing, and computational science. Time permitting, we
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there are concerns about the new impacts that this will introduce. Battery electric vehicles (BEVs) typically require six times as many minerals as their internal combustion engine (ICE) counterparts, and thus a
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research. Specific multidisciplinary skills include: synthetic chemistry, structural molecular biology and advanced imaging; it will harness cutting edge computational tools (incl. image analyses), giving
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autophagy and the innate immunity response. Using cutting-edge omics (transcriptomics/proteomics), advanced imaging (confocal) and cellular biology approaches (macrophages, autophagy biomarkers), this project
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fluorescence microscopy, live cell imaging, and cell proliferation and migration assays (such as scratch assay, high throughput migration assay, 3D migration, wound contraction assay). To apply, please follow
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across the fern lifecycle (RT-PCR, qPCR). Test to see if these ancestral genes can function in male or female meiosis through genetic engineering, swapping out the Arabidopsis gene for the fern copy
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Requirements: Applications are welcome from highly motivated candidates with a background in: Civil Engineering, Materials Science, or related disciplines. Experience or interest in Applied Rheology, Concrete
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PhD Studentship: The Role of O-glycosylation of the Stalk Region of the Immunoglobulin Receptor GPVI
of O-glycosylation sites within the stalk of GPVI. Nanobodies will be raised against key regions of the stalk and inhibitory nanobodies will be identified. The post potent nanobodies will be taken